{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f7411876",
   "metadata": {},
   "source": [
    "# 百度ai开发平台\n",
    "# 通用物体和场景识别"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4b11f55",
   "metadata": {},
   "source": [
    "### １．鉴权认证机制（获取access_token）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "33cefbb3",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'refresh_token': '25.b506851dbebabc2acb57c43635e0c5af.315360000.1965020567.282335-25904780', 'expires_in': 2592000, 'session_key': '9mzdDAZ9o7rHraK1Z70eq1vsrDNtKvvIckS0jI+7GeMjx3ySCJvfAjFme3qbp8n3UndbZxvAgPejuShu9h+6/Ax88Ih/Kg==', 'access_token': '24.73cb9a73d2b48ea831d1e344689e6714.2592000.1652252567.282335-25904780', 'scope': 'public vis-classify_dishes vis-classify_car brain_all_scope vis-classify_animal vis-classify_plant brain_object_detect brain_realtime_logo brain_dish_detect brain_car_detect brain_animal_classify brain_plant_classify brain_ingredient brain_advanced_general_classify brain_custom_dish brain_poi_recognize brain_vehicle_detect brain_redwine brain_currency brain_vehicle_damage brain_multi_ object_detect wise_adapt lebo_resource_base lightservice_public hetu_basic lightcms_map_poi kaidian_kaidian ApsMisTest_Test权限 vis-classify_flower lpq_开放 cop_helloScope ApsMis_fangdi_permission smartapp_snsapi_base smartapp_mapp_dev_manage iop_autocar oauth_tp_app smartapp_smart_game_openapi oauth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi smartapp_opensource_recapi fake_face_detect_开放Scope vis-ocr_虚拟人物助理 idl-video_虚拟人物助理 smartapp_component smartapp_search_plugin avatar_video_test b2b_tp_openapi b2b_tp_openapi_online', 'session_secret': '31d8e0563af3f6fcd951d9596bc13be7'}\n"
     ]
    }
   ],
   "source": [
    "# encoding:utf-8\n",
    "import requests \n",
    "\n",
    "# client_id 为官网获取的AK， client_secret 为官网获取的SK\n",
    "host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=g0yxhKEsWIllgCwScDbGGOrR&client_secret=iR843eA9RMII1RjqPoUpSc4hqeXPAuAr'\n",
    "# 准备url\n",
    "payload={\n",
    "    'grant_type':'client_credentials',\n",
    "    'client_id':'g0yxhKEsWIllgCwScDbGGOrR',\n",
    "    'client_secret':'iR843eA9RMII1RjqPoUpSc4hqeXPAuAr'\n",
    "    \n",
    "}\n",
    "  \n",
    "response = requests.get(host)\n",
    "if response:\n",
    "    print(response.json())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8d366281",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'24.73cb9a73d2b48ea831d1e344689e6714.2592000.1652252567.282335-25904780'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "access_token=response.json()[\"access_token\"]\n",
    "access_token"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c3d138b",
   "metadata": {},
   "source": [
    "## 通用物体和场景识别"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a3cee74",
   "metadata": {},
   "source": [
    "## 1.接口描述\n",
    "该请求用于通用物体及场景识别，即对于输入的一张图片（可正常解码，且长宽比适宜），输出图片中的多个物体及场景标签。\n",
    "## 请求示例\n",
    "\n",
    "## HTTP 方法：POST\n",
    "\n",
    "请求URL： https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8278cf93",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "019ffa0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>参数</th>\n",
       "      <th>是否必选</th>\n",
       "      <th>类型</th>\n",
       "      <th>可选值范围</th>\n",
       "      <th>说明</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>image</td>\n",
       "      <td>和url二选一</td>\n",
       "      <td>string</td>\n",
       "      <td>-</td>\n",
       "      <td>图像数据，base64编码，要求base64编码后大小不超过4M，最短边至少15px，最长边...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>url</td>\n",
       "      <td>和image二选一</td>\n",
       "      <td>string</td>\n",
       "      <td>-</td>\n",
       "      <td>图片完整URL，URL长度不超过1024字节，URL对应的图片base64编码后大小不超过4...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>baike_num</td>\n",
       "      <td>否</td>\n",
       "      <td>integer</td>\n",
       "      <td>-</td>\n",
       "      <td>返回百科信息的结果数，默认不返回</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          参数       是否必选       类型 可选值范围  \\\n",
       "0      image    和url二选一   string     -   \n",
       "1        url  和image二选一   string     -   \n",
       "2  baike_num          否  integer     -   \n",
       "\n",
       "                                                  说明  \n",
       "0  图像数据，base64编码，要求base64编码后大小不超过4M，最短边至少15px，最长边...  \n",
       "1  图片完整URL，URL长度不超过1024字节，URL对应的图片base64编码后大小不超过4...  \n",
       "2                                   返回百科信息的结果数，默认不返回  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_html(\"https://ai.baidu.com/ai-doc/IMAGERECOGNITION/Xk3bcxe21\")[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0886e093",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'result_num': 5, 'result': [{'keyword': '天空', 'score': 0.831644, 'root': '自然风景-天空'}, {'keyword': '霞光', 'score': 0.659684, 'root': '自然图像-气候气象'}, {'keyword': '海洋', 'score': 0.427701, 'root': '自然风景-海洋'}, {'keyword': '风景', 'score': 0.220563, 'root': '自然风景-其他'}, {'keyword': '卷积云', 'score': 0.043075, 'root': '自然图像-气候气象'}], 'log_id': 1513412270130544830}\n"
     ]
    }
   ],
   "source": [
    "# encoding:utf-8\n",
    "\n",
    "import requests\n",
    "import base64\n",
    "\n",
    "'''\n",
    "通用物体和场景识别\n",
    "'''\n",
    "\n",
    "request_url = \"https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general\"\n",
    "# 二进制方式打开图片文件\n",
    "f = open('taiyan.jpg', 'rb')\n",
    "img = base64.b64encode(f.read())\n",
    "\n",
    "params = {\"image\":img}\n",
    "access_token = access_token\n",
    "request_url = request_url + \"?access_token=\" + access_token\n",
    "headers = {'content-type': 'application/x-www-form-urlencoded'}\n",
    "response = requests.post(request_url, data=params, headers=headers)\n",
    "if response:\n",
    "    print (response.json())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d29d89c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "## 2.菜品识别"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "1a45fed9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'result_num': 5, 'result': [{'calorie': '347', 'has_calorie': True, 'name': '蛋糕', 'probability': '0.226541'}, {'has_calorie': False, 'name': '豆品拼盘', 'probability': '0.131187'}, {'calorie': '248', 'has_calorie': True, 'name': '提拉米苏', 'probability': '0.129702'}, {'calorie': '347', 'has_calorie': True, 'name': '慕斯蛋糕', 'probability': '0.126022'}, {'calorie': '378', 'has_calorie': True, 'name': '奶油蛋糕', 'probability': '0.101746'}], 'log_id': 1513413238574675792}\n"
     ]
    }
   ],
   "source": [
    "# encoding:utf-8\n",
    "\n",
    "import requests\n",
    "import base64\n",
    "\n",
    "'''\n",
    "菜品识别\n",
    "'''\n",
    "\n",
    "request_url = \"https://aip.baidubce.com/rest/2.0/image-classify/v2/dish\"\n",
    "# 二进制方式打开图片文件\n",
    "f = open('dangao.jpg.jpg', 'rb')\n",
    "img = base64.b64encode(f.read())\n",
    "\n",
    "params = {\"image\":img,\"top_num\":5}\n",
    "access_token = access_token\n",
    "request_url = request_url + \"?access_token=\" + access_token\n",
    "headers = {'content-type': 'application/x-www-form-urlencoded'}\n",
    "response = requests.post(request_url, data=params, headers=headers)\n",
    "if response:\n",
    "    print (response.json())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aeb08407",
   "metadata": {},
   "outputs": [],
   "source": [
    "### 3. 请看成品\n",
    "微信小程序搜素：识相Tnsight  "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
